A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
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Updated
Dec 27, 2018 - Python
A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
使用分层注意力机制 HAN + 多任务学习 解决 AI Challenger 细粒度用户评论情感分析 。https://challenger.ai/competition/fsauor2018
All kinds of neural text classifiers implemented by Keras
Hierarchical Attention Neural Network For Fake News Detection
Implemented the paper "Hierarchical Attention Networks for Document Classification" by tensorflow
Simple collection of several real time system tools for job/task scheduling
Text Classification Based on Chinese SogouNews
https://babelstone.co.uk/Fonts/PUA.html, but in JSON format.
PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类
Hierarchical Attention Networks for document classification
Hierarchical-Attention-Network
Package to help decode smart power meter data stream of Cosem HDLC frames used by MBUS. The package has special support of formats for Aidon, Kaifa and Kamstrup meters used in Norway (AMS HAN).
Home Assistant integrasjon for strømmålere (AMS/HAN/P1). Integrasjonen støter både streaming (serieport/TCP-IP) og MQTT (Tibber Pulse, energyintelligence.se etc)
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
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